ABSTRACT
The new era of systems medicine provides now most promises to solve the problem of cure of complex disorders faster and more efficiently than standard medicine. Given the complex interactions between signaling pathways within a single cancer cell, the interactions between these cells and their microenvironment, and the relationships of cancer genomes with host variables, lifestyle and environmental exposures, systems approaches for causal networks predictions could be achieved only by systems medicine approaches.
Here the complexity and heterogeneity of cancer, revealed through next-generation DNA sequencing technologies, are described and research efforts to integrate genetics, personal genomics and clinical data into networks modeling towards genotype-phenotype map inference are discussed.
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